Title :
A renewable energy integration application in a MicroGrid based on model predictive control
Author :
Jingran Ma ; Fang Yang ; Zhao Li ; Qin, S.J.
Author_Institution :
Dept. of Chem. Eng. & Mater. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
This paper investigates the application of model predictive control (MPC) method in a MicroGrid with distributed energy resources (DERs), including distributed generators, energy storage and demand response to achieve higher penetration of renewable energy. A MicroGrid is an aggregation of network that is connected to a centralized grid and can be operated autogenously. MPC utilizes a simulation model to make decisions on the amount of power that the MicroGrid should draw from the connected main grid and each DER respectively, in a way that the economical cost is minimized and all operational constraints are satisfied. The potential of MPC is shown by simulations on an IEEE test feeder modeled on the OpenDSS simulator.
Keywords :
distributed power generation; power generation control; predictive control; renewable energy sources; DER; IEEE test feeder; MPC method; OpenDSS simulator; centralized grid; demand response; distributed energy resources; distributed generators; economical cost; energy storage; microgrid; model predictive control method; operational constraints; renewable energy integration; Energy storage; Generators; Mathematical model; Optimization; Predictive models; Renewable energy resources; MicroGrid; OpenDSS; model predictive control; renewable energy; simulation;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344641
